D. Yamini, P. Giridhar


Like a valuable means to offer computing services to clients when needed, cloud setting is becoming more appealing. In the view reason for providers of cloud, profit is easily the most major problem that is mostly determined by way of cloud platform arrangement in specified market demand. Ideas study concerning the multi-server configuration and services information contributor so that its profit is used. A dual leasing product is forecasted for providers which combine lengthy-term leasing by way of short-term leasing, which assures quality-of-service needs in modifying system workload, but furthermore decrease resource waste. The forecasted resource leasing product is considered first of all where short-term leasing in addition to lengthy-term leasing are incorporated striving at existing issues. By way of our suggested resource leasing design, temporary servers are leased for the whole demands whose duration of waiting are equal to limit, that may assurance the entire demands are offered by high service quality hence our bodies is advanced to established resource leasing plan regarding service excellence.


Cloud Setting; Profit; Multi-Server Configuration; Quality-Of-Service; Double Resource Renting; Resource Waste; Computing Services


. R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg, and I. Brandic, “Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Gener. Comp. Sy., vol. 25, no. 6, pp. 599– 616, 2009.

. P. Mell and T. Grance, “The NIST definition of cloud computing. national institute of standards and technology,” Information Technology Laboratory, vol. 15, p. 2009, 2009.

. J. Chen, C. Wang, B. B. Zhou, L. Sun, Y. C. Lee, and A. Y. Zomaya, “Tradeoffs between profit and customer satisfaction for service provisioning in the cloud,” in Proc. 20th Int’l Symp. High Performance Distributed Computing. ACM, 2011, pp. 229–238.

. D. E. Irwin, L. E. Grit, and J. S. Chase, “Balancing risk and reward in a market-based task service,” in 13th IEEE Int’l Symp. High performance Distributed Computing, 2004, pp. 160–169.

. J. Heo, D. Henriksson, X. Liu, and T. Abdelzaher, “Integrating adaptive components: An emerging challenge in performance-adaptive systems and a server farm casestudy,” in RTSS 2007, Dec 2007, pp. 227–238.

. E. Pinheiro, R. Bianchini, E. V. Carrera, and T. Heath, “Dynamic cluster reconfiguration for power and performance,” in Compilers and operating systems for low power. Springer, 2003, pp. 75–93.

Full Text: PDF


  • There are currently no refbacks.

Copyright © 2012 - 2023, All rights reserved.|

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at